Abstract
In smart power grids, a smart meter placed at a consumerend point reports fine-grained usage information to utility providers. Based on this information, the providers can perform demand prediction and set on-demand pricing. However, this also threatens user privacy, since users’ specific activity or behavior patterns can be deduced from the finely granular meter readings. To resolve this issue, we design Privatus, a privacy-protection mechanism that uses a rechargeable battery. In Privatus, the meter reading reported to the utility is probabilistically independent of the actual usage at any given time instant. Privatus also considerably reduces the correlation between the meter readings and the actual usage pattern over time windows. Further, using stochastic dynamic programming, Privatus charges/discharges the battery in the optimal way to maximize savings in the energy cost, given prior knowledge of time periods for the various price zones.
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Beckman, H.: Lawsuit filed to stop installaton of smart meters, http://napervillesun.suntimes.com/news/9723766-418/lawsuit-filed-to-stop-smart-meter-installation.html
Sullivan, B.: What will talking power meters say about you?, http://redtape.msnbc.msn.com
Kalogridis, G., Efthymiou, C., Denic, S.Z., Lewis, T.A., Cepeda, R.: Privacy for smart meters: Towards undetectable appliance load signatures. In: 2010 First IEEE International Conference on Smart Grid Communications (2010)
Tucson electric power: Residential time-of-use pricing plan, https://www.tep.com/doc/customer/rates/R-21F.pdf
Agrawal, D., Aggarwal, C.C.: On the design and quantification of privacy preserving data mining algorithms. In: PODS 2001, pp. 247–255. ACM, New York (2001)
Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 10, 557–570 (2002)
Stallman, R.: Is digital inclusion a good thing? How can we make sure it is? Comm. Mag. 48, 112–118 (2010)
Khurana, H., Hadley, M., Lu, N., Frincke, D.A.: Smart-grid security issues. IEEE Security and Privacy 8, 81–85 (2010)
Quinn, E.L.: Privacy and the new energy infrastructure. In: SSRN (2009)
Rial, A., Danezis, G.: Privacy-preserving smart metering. In: Proceedings of the 10th Annual ACM Workshop on Privacy in the Electronic Society, WPES 2011. ACM (2011)
Varodayan, D.P., Khisti, A.: Smart meter privacy using a rechargeable battery: Minimizing the rate of information leakage. In: ICASSP (2011)
Koo, J., Lin, X., Bagchi, S.: Technical Report: Wallet-Friendly Privacy Protection for Smart Meters, https://engineering.purdue.edu/~linx/papers.html
Bertsekas, D.P., Shreve, S.E.: Stochastic Optimal Control: The Discrete-Time Case. Athena Scientific (2007)
Administration, U.E.I.: Average electricity consumption for a us residential customer, http://www.eia.gov/tools/faqs/faq.cfm?id=97&t=3
U.S. Department of Energy: Battery power for your residentialsolar electric system, http://www.nrel.gov/docs/fy02osti/31689.pdf
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Koo, J., Lin, X., Bagchi, S. (2012). PRIVATUS: Wallet-Friendly Privacy Protection for Smart Meters. In: Foresti, S., Yung, M., Martinelli, F. (eds) Computer Security – ESORICS 2012. ESORICS 2012. Lecture Notes in Computer Science, vol 7459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33167-1_20
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DOI: https://doi.org/10.1007/978-3-642-33167-1_20
Publisher Name: Springer, Berlin, Heidelberg
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